AutoGen & MemGPT with Local LLM: A Complete Setup Tutorial! 🧠 AMAZING 🤯

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AI Summary

Summary: Integration of autogen and memgpt with Local Setup

• Introduction
  • Integration of autogen (unlimited agents) with memgpt (unlimited memory).
  • Running locally using open-source Lodge language model and private data.
  • After 2 days of testing with LM Studio light LLM and Text Generation Web UI, success was achieved.
  • Video to provide a step-by-step guide on the process.
• Setup Steps
  1. Create a virtual environment: conda create -n autogen python=3.11.
  2. Activate the virtual environment: conda activate autogen.
  3. Install autogen package: pip install pyautogen[teachable].
  4. Install memgpt package: pip install pymemgpt.
  5. Create app.py and import autogen.
  6. Import and configure memgpt with autogen.
  7. Define configuration including model name, API base, and API key.
  8. Create user proxy and coder agents.
  9. Initiate chat with coder agent and send a message to perform a task.
• Running the Code
  1. Clone Text Generation Web UI and navigate to the folder.
  2. Start the service with appropriate parameters for the operating system.
  3. Download and load the desired model in the Web UI.
  4. Set API base and backend type in the terminal.
  5. Run app.py and troubleshoot any errors.
  6. Successful execution results in memgpt coder providing a Python function.
• Conclusion
  • Multiple attempts were needed due to early-stage integration and dependency on the large language model.
  • Expectations of future improvements in autogen memgpt integration and language models.
  • Encouragement to like, share, subscribe, and stay tuned for further reviews.